Xiang Xu 许翔

Xiang Xu 许翔

PhD student @ NUAA

2025

Beyond One Shot, Beyond One Perspective: Cross-View and Long-Horizon Distillation for Better LiDAR Representations
Xiang Xu, Lingdong Kong, Song Wang, Chuanwei Zhou, Qingshan Liu
IEEE/CVF International Conference on Computer Vision, 2025
LiMoE: Mixture of LiDAR Representation Learners from Automotive Scenes
Xiang Xu*, Lingdong Kong*, Hui Shuai, Liang Pan, Ziwei Liu, Qingshan Liu
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
EventFly: Event Camera Perception from Ground to the Sky
Lingdong Kong, Dongyue Lu, Xiang Xu, Lai Xing Ng, Wei Tsang Ooi, Benoit R. Cottereau
IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
Lingdong Kong*, Xiang Xu*, Jun Cen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu
IEEE/CVF Winter Conference on Applications of Computer Vision, 2025 (Oral Presentation)
FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation
Xiang Xu, Lingdong Kong, Hui Shuai, Qingshan Liu
IEEE Transactions on Image Processing, 2025

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
Lingdong Kong, Xiang Xu, Jiawei Ren, Wenwei Zhang, Liang Pan, Kai Chen, Wei Tsang Ooi, Ziwei Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
LargeAD: Large-Scale Cross-Sensor Data Pretraining for Autonomous Driving
Lingdong Kong*, Xiang Xu*, Youquan Liu*, Jun Cen, Runnan Chen, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Enhanced Spatiotemporal Consistency for Image-to-LiDAR Data Pretraining
Xiang Xu*, Lingdong Kong*, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2025
Veila: Panoramic LiDAR Generation from a Monocular RGB Image
Youquan Liu, Lingdong Kong, Weidong Yang, Ao Liang, Jianxiong Gao, Yang Wu, Xiang Xu, Xin Li, Linfeng Li, Runnan Chen, Ben Fei
arXiv 2025
U4D: Uncertainty-Aware 4D World Modeling from LiDAR Sequences
Xiang Xu, Ao Liang, Youquan Liu, Linfeng Li, Lingdong Kong, Ziwei Liu, Qingshan Liu
arXiv 2025

2024

4D Contrastive Superflows are Dense 3D Representation Learners
Xiang Xu*, Lingdong Kong*, Hui Shuai, Wenwei Zhang, Liang Pan, Kai Chen, Ziwei Liu, Qingshan Liu
European Conference on Computer Vision, 2024
An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models
Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen
arXiv 2024

Before

Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation
Hui Shuai, Xiang Xu, Qingshan Liu
Chinese Conference on Pattern Recognition and Computer Vision, 2022
CED-Net: Contextual Encoder-Decoder Network for 3D Face Reconstruction
Lei Zhu, Shanmin Wang, Zengqun Zhao, Xiang Xu, Qingshan Liu
Multimedia Systems, 2022
Semantic-Aware Object Detection for 3D Point Cloud
Xiang Xu, Gang Huang, Laifeng Hu, Yaonong Wang
International Conference on Optics and Machine Vision, 2022
Backward Attentive Fusing Network with Local Aggregation Classifier for 3D Point Cloud Semantic Segmentation
Hui Shuai, Xiang Xu, Qingshan Liu
IEEE Transactions on Image Processing, 2021